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Joint source and relay precoder design for MIMO-CRN

机译：MIMO-CRN的联合源和中继预编码器设计

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摘要

This paper investigates joint source and relay precoders design problem for a multi-input multi-output cognitive relay network (MIMO-CRN). A mathematical problem is formulated with the aim to maximize the energy efficiency (EE) of the secondary system, subject to transmit power constraints and interference constraints. The optimization is performed with respect to the source and relay precoding matrices. Such maximization problem is a challenging non-convex fractional programming problem, which is first divided into two sub-problems corresponding to each of the precoding matrices. Further, the tools of the fractional programming, augmented Lagrangian multiplier, and iterative optimization are employed to jointly design the source and relay precoding matrices. We also study the impact of minimum rate requirement of secondary user (SU) on the achievable EE by incorporating a quality-of-service (QoS) constraint in the problem formulation. The convergence and complexity analysis of the proposed scheme is presented. Numerical results are provided to show the effectiveness of the proposed scheme over other schemes.
机译：本文研究了多输入多输出认知中继网络（MIMO-CRN）的联合源和中继预编码器设计问题。制定数学问题的目的是在传输功率约束和干扰约束的作用下最大化二次系统的能量效率（EE）。针对源和中继预编码矩阵执行优化。这种最大化问题是具有挑战性的非凸分数规划问题，其首先被划分为与每个预编码矩阵相对应的两个子问题。此外，分数编程，增强拉格朗日乘数和迭代优化的工具被用于联合设计源和中继预编码矩阵。我们还通过在问题公式中纳入服务质量（QoS）约束，研究了次级用户（SU）最低速率要求对可实现EE的影响。提出了该方案的收敛性和复杂性分析。数值结果表明该方案相对于其他方案是有效的。

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